Academic, All India Institute of Medical Sciences, New Delhi, Delhi, India
Obstetrics and Gynecology, All India Institute of Medical Sciences Cardio-Thoracic Sciences Centre, New Delhi, India.
BMJ Open Qual. 2021 Jul;10(Suppl 1). doi: 10.1136/bmjoq-2021-001435.
The decision to admit or refer a patient presenting with an obstetric emergency is extremely crucial. In rural India, such decisions are usually made by young physicians who are less experienced and often miss relevant data points required for appropriate decision making. In our setting, before the quality improvement (QI) initiative, this information was recorded on loose blank sheets (first information sheets (FIS)) where an initial clinical history, physical examination and investigations were recorded. The mean FIS completeness, at baseline, was 73.95% (1-5 January 2020) with none of the FIS being fully complete. Our objective was to increase the FIS completeness to >90% and to increase the number of FIS that were fully complete over a 9-month period.
With the help of a prioritisation matrix, the QI team decided to tackle the problem of incomplete FIS. The team then used fishbone analysis and identified that the main causes of incomplete FIS were that the interns did not know what to document and would often forget some data points. Change ideas to improve FIS completeness were implemented using Plan-Do-Study-Act (PDSA) cycles, and ultimately, a checklist (referred to as antenatal care (ANC) checklist) was implemented. The study was divided into six phases, and after every phase, a few FIS were conveniently sampled for completeness.
FIS completeness improved to 86.34% (p<0.001) in the post implementation phase (1 Feb to 31 August 2020), and in this phase, 69.72% of the FIS were documented using the ANC checklist. The data points that saw the maximum improvement were relating to the physical examination.
The use of ANC checklist increased FIS completeness. Interns with no prior clinical and QI experience can effectively lead and participate in QI initiatives. The ANC checklist is a scalable concept across similar healthcare settings in rural India.
对出现产科急症的患者进行收治或转诊的决策至关重要。在印度农村,这类决策通常由经验较少的年轻医生做出,他们常常会遗漏适当决策所需的相关数据点。在我们的医疗环境中,在质量改进(QI)计划实施之前,这些信息是记录在松散的空白表(第一信息表(FIS))上的,其中记录了初始临床病史、体格检查和检查结果。在基线时,FIS 的平均完整性为 73.95%(2020 年 1 月 1 日至 5 日),没有一份 FIS 是完全完整的。我们的目标是将 FIS 完整性提高到>90%,并在 9 个月内增加完全完整的 FIS 数量。
在优先矩阵的帮助下,QI 团队决定解决 FIS 不完整的问题。然后,团队使用鱼骨图分析并确定,FIS 不完整的主要原因是实习医生不知道要记录什么,并且经常会忘记一些数据点。为了提高 FIS 完整性,团队实施了改进措施,并使用 Plan-Do-Study-Act(PDCA)循环不断完善,最终,实施了一个检查表(称为产前保健(ANC)检查表)。研究分为六个阶段,在每个阶段之后,都会方便地抽取一些 FIS 来评估其完整性。
在实施阶段(2020 年 2 月 1 日至 8 月 31 日),FIS 完整性提高到 86.34%(p<0.001),在这个阶段,69.72%的 FIS 是使用 ANC 检查表记录的。在 FIS 完整性方面,体检相关数据点的改进最大。
使用 ANC 检查表提高了 FIS 的完整性。没有临床和 QI 经验的实习医生也可以有效地领导和参与 QI 计划。ANC 检查表是印度农村类似医疗保健环境中可扩展的概念。